code: def test_mse_regressor_big_estimators_iris(n_estimators):
      _compare_with_sklearn_mse_regressor_iris(
          n_estimators=n_estimators,
          description=f"Regression: n_estimators={n_estimators}: ",
      )
  
file_path: scikit-learn-intelex/daal4py/sklearn/ensemble/tests/test_decision_forest.py
imports: import random
  import numpy
  import pytest
  from sklearn.datasets import load_iris
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.metrics import accuracy_score, log_loss, mean_squared_error, roc_auc_score
  from sklearn.model_selection import train_test_split
  from daal4py.sklearn._utils import daal_check_version
  from daal4py.sklearn.ensemble import RandomForestClassifier
  from daal4py.sklearn.ensemble import RandomForestRegressor
label_desc: Use image node_id 7 for calling a global function with example usage: test_mse_regressor_big_estimators_iris(n_estimators) without return types